iPad Air 11-inch (M2)
Geekbench AI Score
3451
Single Precision Score
5985
Half Precision Score
4880
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 10:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2796
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6819
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15091
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12884
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2812
223.9 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5605
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10865
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18591
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28919
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24295
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3963
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4962
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6326
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6390
110.4 IPS |
